Performance of Infrastructures under Extreme Loads and Complex Environments

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 916

Special Issue Editors


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Guest Editor
Department of Hydraulic Engineering, School of Civil Engineering, Tsinghua University, Beijing 100084, China
Interests: earthquake engineering; structural dynamics; concrete; structural health monitoring; dams; seismic assessment; numerical modelling

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Guest Editor
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Interests: dams; hazard chain; valley deformation; particle breakage; numerical modelling

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Guest Editor
Institute of Earthquake Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116081, China
Interests: soil dynamic; constitutive model; rockfill dams; seismic assessment; numerical modelling

Special Issue Information

Dear Colleagues,

We cordially invite you to contribute to our upcoming Special Issue, entitled “Performance of Infrastructures under Extreme Loads and Complex Environments”. This Special Issue aims to explore the performance and behaviour of infrastructures under extreme conditions and to provide new perspectives and in-depth insights for research in this field.

Extreme loads such as earthquakes, floods and explosions are devastating disasters that impose serious challenges on the safety and reliability of infrastructures. Complex environmental conditions include rainfall, freeze–thaw cycles, and droughts, and can gradually deteriorate infrastructures, leading to reduced performance and compromised security. The study of the performance and behavior of infrastructures, including dams, embankments, harbors, tunnels and bridges is of great importance in preventing and mitigating the effects of devastating hazards. We encourage authors to share their research results, experiences, and perspectives in this Special Issue to promote the development and progress of the field.

We welcome submissions of manuscripts that address, but are not limited to, the following areas:

  • Effects of extreme loading and complex environments on infrastructures;
  • Response and dynamic properties of infrastructures;
  • Seismic design and seismic measures for infrastructures;
  • Failure mechanisms and risk analysis of structures subjected to extreme loads;
  • Post-hazard repair and strengthening strategies;
  • Performance assessment and monitoring methods for infrastructures.

We encourage the submission of original research papers, review articles and technical reports. All manuscripts will be rigorously peer-reviewed by our expert editorial team to ensure high quality and academic reliability.

We look forward to your valuable contributions to advance the research on the performance and security of infrastructures under extreme loads and complex environments.

Dr. Jianwen Pan
Dr. Hui Jiang
Dr. Jingmao Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • extreme loads
  • infrastructures
  • seismic analysis
  • complex environments
  • performance assessment
  • soil dynamic
  • dynamic interaction
  • seismic liquefaction

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Published Papers (1 paper)

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Research

15 pages, 3036 KiB  
Article
Research on Outlier Detection Methods for Dam Monitoring Data Based on Post-Data Classification
by Yanpian Mao, Jiachen Li, Zhiyong Qi, Jin Yuan, Xiaorong Xu, Xinxin Jin and Xuhuang Du
Buildings 2024, 14(9), 2758; https://doi.org/10.3390/buildings14092758 - 3 Sep 2024
Viewed by 540
Abstract
Safety monitoring of hydraulic structures is a critical task in the field of hydraulic engineering construction. This study developed a method for preprocessing and classifying monitoring data for the identification of gross errors in hydraulic structures. By utilizing linear regression and wavelet analysis [...] Read more.
Safety monitoring of hydraulic structures is a critical task in the field of hydraulic engineering construction. This study developed a method for preprocessing and classifying monitoring data for the identification of gross errors in hydraulic structures. By utilizing linear regression and wavelet analysis techniques, it effectively differentiated various waveform characteristics in data sets, such as Sinusoidal Wave Cyclical, Triangular Wave Cyclical, Seasonal Cyclical, and Weakly Cyclical growth types. In the experiments for gross error identification, the 3σ algorithm, K-medoids algorithm, and Isolation Forest algorithm were applied to test the data. The results showed that the K-medoids algorithm excelled in processing Sinusoidal Wave Cyclical Data Sets; the 3σ algorithm adapted better to Triangular Wave Cyclical Data Sets; the Isolation Forest algorithm performed well in handling data sets with significant anomalies or atypical fluctuations and excelled in scenarios with strong seasonality and large data fluctuations; and for complex Weakly Cyclical Growth Data Sets, all three algorithms were less effective, indicating the potential need for more advanced analysis methods or a combination of multiple techniques. Testing on actual engineering data further confirmed the importance of using specific gross error identification techniques for special data types after data set pre-classification, providing a more effective technical solution for the safety monitoring of hydraulic structures. Full article
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